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Computer Science > Computation and Language

Title: Corpus Statistics in Text Classification of Online Data

Abstract: Transformation of Machine Learning (ML) from a boutique science to a generally accepted technology has increased importance of reproduction and transportability of ML studies. In the current work, we investigate how corpus characteristics of textual data sets correspond to text classification results. We work with two data sets gathered from sub-forums of an online health-related forum. Our empirical results are obtained for a multi-class sentiment analysis application.
Comments: 12 pages, 6 tables, 1 figure
Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR); Learning (cs.LG)
MSC classes: 68T05, 68T50
Cite as: arXiv:1803.06390 [cs.CL]
  (or arXiv:1803.06390v1 [cs.CL] for this version)

Submission history

From: Marina Sokolova [view email]
[v1] Fri, 16 Mar 2018 20:19:56 GMT (316kb)